What does an AI consultancy for UK law firms actually do?
We run a two-week fixed-fee audit of the firm's existing workflows, document management system, precedent library, and SRA-facing supervision model, then build the tools the audit recommends against the firm's own data, integrate them with the existing stack (iManage, NetDocuments, LEAP, Clio, Actionstep, HighQ, SharePoint, Microsoft 365), and train the team to use them under the Law Society's verify-disclose-record rule.
Will AI replace solicitors?
No. The SRA regulates outcomes and the firm remains accountable for every AI-generated output the same way it is accountable for work done by a junior. The Law Society's guidance is explicit: solicitors must independently verify AI outputs, disclose use where material to client advice, and retain records of AI interactions. Our systems are designed for that supervision model, with citation back to the source on every extracted field.
How does this work with the SRA Code of Conduct and the Law Society's generative AI guidance?
The SRA's outcomes-based regime means the firm owns the supervision question, and the Law Society's “Generative AI — the essentials” gives the three-part rule. Our delivery is shaped around that floor: every pipeline produces an audit trail tied to source documents, low-confidence outputs are held for human review rather than silently committed, and the COLP gets a governance pack the indemnity insurer can read.
What about professional indemnity insurance if AI gets something wrong?
PII coverage continues to sit on the solicitor, not the model. The Law Society guidance is clear that reliance on AI does not exempt a solicitor from liability. We design for that reality by surfacing model confidence, citing every output to the source paragraph, holding low-confidence items for human review, and producing the audit trail an insurer can inspect at renewal.
Can we keep client data inside our own tenant or on-premise?
Yes. Privileged communications and matter data stay inside the firm's environment by default. We deploy against Claude on UK/EU regions, OpenAI on Azure UK/EU, or open-weights models running on private GPU or on-prem, depending on what the firm's indemnity insurer and client procurement contracts require. The Baisics platform runs entirely inside an AWS UK region.
Does this integrate with iManage, NetDocuments, LEAP, Clio, Actionstep, HighQ, and Microsoft 365?
Yes — those are the DMS and practice-management systems the buildouts sit against. LEAP and Microsoft 365 are evidenced in delivered work; iManage, NetDocuments, Clio, Actionstep, and HighQ are integration targets we scope into per engagement. The audit names which integration is in-scope before any build commits.
How does this compare to Harvey, Spellbook, Robin AI, or Luminance?
Harvey and Luminance sit at the enterprise tier with seat pricing in the $1,000+ per fee-earner per month range and a generic large-firm-trained model approach. Spellbook is a productised contract drafting tool at $99-$199 per seat per month. Robin AI is closer to a hybrid of product plus managed review services. OpenKit sits in a different shape: bespoke against your firm’s precedents, your DMS, and your matter taxonomy, fixed-fee audit before any build, retainer for delivery, no per-seat lock-in.
How long does a legal AI engagement take and what does it cost?
The audit is fixed-fee and fixed-scope. The Transformation Block is a build-and-train engagement priced per scope. The Senior AI Lead is a rolling monthly retainer. Bespoke Builds are quoted after the audit so the build cost reflects the actual workflow. Numbers are shared during a discovery call so we can size against what you actually want to do.
Have you delivered AI work for UK law firms and legaltech businesses?
Yes. The Baisics commercial-lease platform is the named example: a custom OCR plus bespoke LLM pipeline that took lease review from up to four hours to roughly ten minutes at 96% accuracy against partner-graded benchmarks, beating GPT-4 and the leading legal-AI products in the same test. We have also run AI audits inside boutique UK law firms and lease-review work for property advisory firms whose document quality matched the legal-sector pattern.
What makes OpenKit different from a Big Four AI consultancy?
The Big Four sell strategy and hand the implementation to a different team. We do both with the same people. The audit names the rollout plan, the Transformation Block builds against it, and the Senior AI Lead carries delivery and the SRA-facing governance work afterwards. We do not stack a strategy invoice on top of a build invoice.
